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Advances in hybridization of intelli...
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Hatzilygeroudis, Ioannis.
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Advances in hybridization of intelligent methods = models, systems and applications /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Advances in hybridization of intelligent methods/ edited by Ioannis Hatzilygeroudis, Vasile Palade.
Reminder of title:
models, systems and applications /
other author:
Hatzilygeroudis, Ioannis.
Published:
Cham :Springer International Publishing : : 2018.,
Description:
ix, 147 p. :ill., digital ;24 cm.
[NT 15003449]:
Deep Learning Approaches for Facial Emotion Recognition: A Case Study on FER-2013 -- Analysis of Biologically Inspired Swarm Communication Models -- Target-Dependent Sentiment Analysis of Tweets using Bi-directional Gated Recurrent Neural Networks -- Traffic Modelling, Visualisation and Prediction for Urban Mobility Management -- Assurance in Reinforcement Learning Using Quantitative Verification -- Distillation of Deep Learning Ensembles as a Regularisation method -- Heuristic Constraint Answer Set Programming for Manufacturing Problems.
Contained By:
Springer eBooks
Subject:
Artificial intelligence. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-66790-4
ISBN:
9783319667904
Advances in hybridization of intelligent methods = models, systems and applications /
Advances in hybridization of intelligent methods
models, systems and applications /[electronic resource] :edited by Ioannis Hatzilygeroudis, Vasile Palade. - Cham :Springer International Publishing :2018. - ix, 147 p. :ill., digital ;24 cm. - Smart innovation, systems and technologies,v.852190-3018 ;. - Smart innovation, systems and technologies ;v.85..
Deep Learning Approaches for Facial Emotion Recognition: A Case Study on FER-2013 -- Analysis of Biologically Inspired Swarm Communication Models -- Target-Dependent Sentiment Analysis of Tweets using Bi-directional Gated Recurrent Neural Networks -- Traffic Modelling, Visualisation and Prediction for Urban Mobility Management -- Assurance in Reinforcement Learning Using Quantitative Verification -- Distillation of Deep Learning Ensembles as a Regularisation method -- Heuristic Constraint Answer Set Programming for Manufacturing Problems.
This book presents recent research on the hybridization of intelligent methods, which refers to combining methods to solve complex problems. It discusses hybrid approaches covering different areas of intelligent methods and technologies, such as neural networks, swarm intelligence, machine learning, reinforcement learning, deep learning, agent-based approaches, knowledge-based system and image processing. The book includes extended and revised versions of invited papers presented at the 6th International Workshop on Combinations of Intelligent Methods and Applications (CIMA 2016), held in The Hague, Holland, in August 2016. The book is intended for researchers and practitioners from academia and industry interested in using hybrid methods for solving complex problems.
ISBN: 9783319667904
Standard No.: 10.1007/978-3-319-66790-4doiSubjects--Topical Terms:
516317
Artificial intelligence.
LC Class. No.: Q335 / .A38 2018
Dewey Class. No.: 006.3
Advances in hybridization of intelligent methods = models, systems and applications /
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Deep Learning Approaches for Facial Emotion Recognition: A Case Study on FER-2013 -- Analysis of Biologically Inspired Swarm Communication Models -- Target-Dependent Sentiment Analysis of Tweets using Bi-directional Gated Recurrent Neural Networks -- Traffic Modelling, Visualisation and Prediction for Urban Mobility Management -- Assurance in Reinforcement Learning Using Quantitative Verification -- Distillation of Deep Learning Ensembles as a Regularisation method -- Heuristic Constraint Answer Set Programming for Manufacturing Problems.
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This book presents recent research on the hybridization of intelligent methods, which refers to combining methods to solve complex problems. It discusses hybrid approaches covering different areas of intelligent methods and technologies, such as neural networks, swarm intelligence, machine learning, reinforcement learning, deep learning, agent-based approaches, knowledge-based system and image processing. The book includes extended and revised versions of invited papers presented at the 6th International Workshop on Combinations of Intelligent Methods and Applications (CIMA 2016), held in The Hague, Holland, in August 2016. The book is intended for researchers and practitioners from academia and industry interested in using hybrid methods for solving complex problems.
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Engineering (Springer-11647)
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EB Q335 .A38 2018
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